Workplace anxiety surrounding artificial intelligence remains elevated, even as AI tools become more integrated into daily operations. More than half—53 percent—of Americans across various demographic groups express concern that AI will displace someone in their household from employment.
This apprehension has manifested in election debates and IPO filings. Employers who previously cut jobs due to AI have largely reversed those decisions over the past year, yet worker trust remains a critical challenge.
Many corporations commit a fundamental error in fostering worker trust for AI adoption, according to Jackie Swanson, a managing partner at Gartner. While organizations develop AI adoption roadmaps, few have a clear plan for how AI affects their workforce, operational pace and future leadership pipeline.
Companies that address this human element early gain a cultural advantage that compounds long after the underlying AI tools become commoditized. That advantage functions as a durable competitive moat.
Contract software company Ironclad reframes AI internally not as a cost-cutting measure, but as a driver of business acceleration. Sunita Verma, Ironclad's chief technology officer, said efficiency plays offer limited returns, while acceleration plays provide infinite potential.
Ironclad's internal messaging emphasizes skill set upgrades and team upskilling. Verma taught classes on the technology, and the company encouraged peer learning. The strategy includes transparent communication regarding both advantages and drawbacks of AI tools.
Superhuman, which rebranded in 2025 following its acquisition of an AI email application of the same name, solidified its AI-forward position through the acquisition of productivity tool Coda, now known as Superhuman Docs.
Superhuman's chief people officer, Kenny Mendes, who joined through the Coda acquisition, said their approach avoids top-down AI mandates. Success stems from empowering teams closest to specific problem areas to identify and adopt new tools. This involves giving employees autonomy to experiment with new work methods.
The broader backlash against AI is not a fringe reaction but a structural response to rollout strategies that often bypass necessary training, context and trust-building. This approach treats the issue as a messaging problem rather than addressing its core.
Trust in institutions has reached historic lows. The Edelman Trust Barometer indicates that most individuals now view business and government leaders as sources of misinformation rather than clarity. Pew Research Center data shows that more Americans express concern than excitement regarding AI's increasing presence in daily life.
